Question about PSD calculation using FFT
4 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Chris Hoer
el 5 de Jun. de 2016
Comentada: Francesca
el 18 de Oct. de 2022
Hello everyone,
a short question about the calculation of the PSD using the FFT. I used the example code provided:
rng default
Fs = 1000;
t = 0:1/Fs:1-1/Fs;
x = cos(2*pi*100*t) + randn(size(t));
N = length(x);
xdft = fft(x);
xdft = xdft(1:N/2+1);
psdx = (1/(Fs*N)) * abs(xdft).^2;
psdx(2:end-1) = 2*psdx(2:end-1);
freq = 0:Fs/length(x):Fs/2;
I understand each step except this one:
psdx(2:end-1) = 2*psdx(2:end-1);
Why do we double entry except the first and the last? Is it about the symmetry of the FFT?
Thanks ahead and best regards, Chris
1 comentario
Francesca
el 18 de Oct. de 2022
Hi, i'm working on a similar work: can I ask you what this part means: PSDx = (1/(Fs*N)) * abs(DFTx).^2?
Respuesta aceptada
Jeremy
el 14 de Jun. de 2016
The fft results in a spectra that includes positive and negative frequencies. Don't ask me to explain what a negative frequency really means but the negative frequency esults are just the conjugates of the positive frequency results. They are not needed for the PSD calculation which is why they are rmeoved by the following line:
xdft = xdft(1:N/2+1);
You have to account for the enrgy lost when this portion of the spectra is removed so we multiply the rest by 2. The 0Hz and Nyquist frequency results don't have an imaginary portion and are not included in the negative frequency portion so they are not muiltiplied by 2.
2 comentarios
Más respuestas (0)
Ver también
Categorías
Más información sobre Fourier Analysis and Filtering en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!